Markov analysis is a technique that deals with the probabilities of future occurrences by analyzing currently known probabilities.
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Q9: In Markov analysis, initial-state probability values determine
Q10: In Markov analysis, the transition probability Pij
Q11: Creating the fundamental matrix requires a partition
Q12: An equilibrium condition exists if the state
Q13: The vector of state probabilities gives the
Q15: The probabilities in any column of the
Q16: The vector of state probabilities for any
Q17: When absorbing states exist, the fundamental matrix
Q18: The four basic assumptions of Markov analysis
Q19: "Events" are used to identify all possible
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